package com.fsnmt.maizhuanbao.qrcodeUtils;

import android.graphics.Bitmap;

import com.google.zxing.BarcodeFormat;
import com.google.zxing.BinaryBitmap;
import com.google.zxing.EncodeHintType;
import com.google.zxing.LuminanceSource;
import com.google.zxing.MultiFormatReader;
import com.google.zxing.NotFoundException;
import com.google.zxing.Result;
import com.google.zxing.WriterException;
import com.google.zxing.common.BitMatrix;
import com.google.zxing.common.HybridBinarizer;
import com.google.zxing.qrcode.QRCodeWriter;

import java.util.Hashtable;

public class ZXingUtil {
	//要转换的地址或字符串,可以是中文
  public static Bitmap encodeQRCode(String content, int width, int height)
  {
  	Bitmap bitmap = null ;
      try
      {
          //判断URL合法性
          if (content == null || "".equals(content) || content.length() < 1)
          {
              return null ;
          }
          Hashtable<EncodeHintType, String> hints = new Hashtable<EncodeHintType, String>();
          hints.put(EncodeHintType.CHARACTER_SET, "utf-8");
          //图像数据转换，使用了矩阵转换
          BitMatrix bitMatrix = new QRCodeWriter().encode(content, BarcodeFormat.QR_CODE, width, height, hints);
          int[] pixels = new int[width * height];
          //下面这里按照二维码的算法，逐个生成二维码的图片，
          //两个for循环是图片横列扫描的结果
          for (int y = 0; y < height; y++)
          {
              for (int x = 0; x < width; x++)
              {
                  if (bitMatrix.get(x, y)) {
                      pixels[y * width + x] = 0xff000000;
                  } else {
                      pixels[y * width + x] = 0xffffffff;
                  }
              }
          }
          //生成二维码图片的格式，使用ARGB_8888
          bitmap = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
          bitmap.setPixels(pixels, 0, width, 0, 0, width, height);
      }
      catch (WriterException e)
      {
          e.printStackTrace();
      }
      return bitmap ;
  }
  
  public static String decodeQRCode(Bitmap bitmap) {
  	String s = null ;
  	MultiFormatReader reader = new MultiFormatReader();
  	Hashtable<EncodeHintType, String> hints = new Hashtable<EncodeHintType, String>();
      hints.put(EncodeHintType.CHARACTER_SET, "utf-8");
      BitmapLuminanceSource source = new BitmapLuminanceSource(bitmap);  
      BinaryBitmap bm = new BinaryBitmap(new HybridBinarizer(source)); 
      try {
			Result result = reader.decode(bm);
			s = result.getText() ;
		} catch (NotFoundException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
      return s ;
  }
  
  public static class BitmapLuminanceSource extends LuminanceSource {

  	private byte bitmapPixels[];

  	protected BitmapLuminanceSource(Bitmap bitmap) {
  		super(bitmap.getWidth(), bitmap.getHeight());

  		// 首先，要取得该图片的像素数组内容
  		int[] data = new int[bitmap.getWidth() * bitmap.getHeight()];
  		this.bitmapPixels = new byte[bitmap.getWidth() * bitmap.getHeight()];
  		bitmap.getPixels(data, 0, getWidth(), 0, 0, getWidth(), getHeight());

  		// 将int数组转换为byte数组，也就是取像素值中蓝色值部分作为辨析内容
  		for (int i = 0; i < data.length; i++) {
  			this.bitmapPixels[i] = (byte) data[i];
  		}
  	}

  	@Override
  	public byte[] getMatrix() {
  		// 返回我们生成好的像素数据
  		return bitmapPixels;
  	}

  	@Override
  	public byte[] getRow(int y, byte[] row) {
  		// 这里要得到指定行的像素数据
  		System.arraycopy(bitmapPixels, y * getWidth(), row, 0, getWidth());
  		return row;
  	}
  }
}
